Data Scientist

Similarweb is the leading digital intelligence platform used by over 3500 global customers. We’re looking for a Data Scientist to join our R&D department. As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions. As a data scientist in Similarweb, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights.

Responsibilities

Working on versatile use cases within a dynamic, fast paced production environment; Strategic thinking and problem solving, with a strong business sense; Analyzing data from various sources, and turning it into usable input; Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights; Initiating newly defined tasks from exploration to proof of concept; Owning the finalization of defined tasks (from POC to deployment in production); Collaborating with data engineers to make sure we reach the desired production results; Owning the ongoing validation process for existing metrics; Collaborating and brainstorming best practices with other teams within the R&D department; Deploying machine-learning models into production for an ongoing use

Requirements

M.Sc in Computer Science/Mathematics/Physics or any other relevant field - Required; 3+ years of experience with statistical and machine learning tools - Python, R, etc.; Strong communicative and verbal abilities to lead and guide customers through the logic of custom-built models; Previous experience developing machine learning/image processing/NLP or similar algorithms; Demonstrated experience utilizing probability theory and statistics

Nice to have

Experience with Big Data tools and cloud infrastructure; PySpark, AWS; Strong analytical skills; experience analyzing and processing tabular data, and extracting insights

Benefits

Competitive compensation packages; Regular team outings and happy hours; Career Week; Personalized coaching; Ongoing learning solutions